Modeling Phase Transitions in the Brain

• Corporate Author: SpringerLink (Online service)
• Other Authors: Steyn-Ross, D. Alistair (Editor), Steyn-Ross, Moira (Editor)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2010.
• Series: Springer Series in Computational Neuroscience ; 4
• Subjects: Medicine.; Neurosciences.; Anesthesiology.; Neurology.; Bioinformatics.; Computational biology.; Neurobiology.; Medicine & Public Health.; Computer Appl. in Life Sciences.

Foreword by Walter J. Freeman. The induction of unconsciousness using anesthetic drugs demonstrates that the cerebral cortex can operate in two very different modes: alert and responsive versus unaware and quiescent. But the states of wakefulness and sleep are not single-neuron properties---they eme...

Table of Contents:

• Phase transitions in single neurons and neural populations: Critical slowing, anesthesia, and sleep cycles
• Generalized state-space models for modeling nonstationary EEG time-series
• Spatiotemporal instabilities in neural fields and the effects of additive noise
• Spontaneous brain dynamics emerges at the edge of instability
• Limited spreading: How hierarchical networks prevent the transition to the epileptic state
• Bifurcations and state changes in the human alpha rhythm: Theory and experiment
• Inducing transitions in mesoscopic brain dynamics
• Phase transitions in physiologically-based multiscale mean-field brain models
• A continuum model for the dynamics of the phase transition from slow-wave sleep to REM sleep
• What can a mean-field model tell us about the dynamics of the cortex?
• Phase transitions, cortical gamma, and the selection and read-out of information stored in synapses
• Cortical patterns and gamma genesis are modulated by reversal potentials and gap-junction diffusion.